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Owlapalooza — Analysis

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* This regatta is not official yet. Ratings marked * are from the last weekly update and have not absorbed this event; the performance columns use the results posted so far, and everything refreshes as scoring is finalised.

Performance rating answers one question for each skipper: holding every other skipper's rating fixed, which rating makes my actual race-by-race finishes least surprising? It is the maximum-likelihood rating under the same Plackett–Luce model that produces the power rankings (how accurate it is), with each opponent fixed at their rating from the last rated week before this event (2019-W46). Substitute skippers are scored only on the races they sailed, and races the boat did not finish (OCS, DNF and similar) are left out.

Percentile places a rating among the 2,718 ICSA skippers who were rated within the year before this event, so it reads as “better than X% of the skippers racing in this league right now”. The arrow shows where the sailor stood going in and where this performance would put them.

Surprise is how many bits more surprising the sailor's finishes were at their pre-event rating than at their performance rating (0 = exactly as expected). P(this good or better) simulates the regatta 3,000 times with the sailor at their pre-event rating against the actual fleet, and reports how often they would score this many points or fewer in the races they skippered. Races in one regatta are not independent, so each simulation also gives every skipper a good or bad regatta, form that drifts from race to race, and the speed of each boat the rotation puts them in (why). Low means an unusually good regatta, high means an unusually poor one. It deliberately ignores how rivals actually sailed, so it agrees with the performance rating rather than with the division finish, which also depends on everyone else's day. Ratings are shown on the rankings scale (model rating × 100). Only skippers are rated; crews are not part of the model.

  • n no rating before this event — the model's estimate from this week is used as the baseline.

Division A  14 boats · 6 races

Fin Skipper School Races Rating
before*		 Perf.
rating		 Δ Percentile
before → perf.		 Surprise
(bits)		 P(this good
or better)		 Avg finish
actual / exp.		 Rating
after*
1 Ota Dvorak '22 University of Texas Longhorns 1 6/6 191* 213 +21 67th → 71st 0.1 28% 2.5 / 3.6 191*
2 Karina Bertelsmann '22 University of Texas Longhorns 2 6/6 78* 173 +96 43rd → 64th 2.3 8% 3.3 / 5.7 78*
3 Andres Boccalandro '21 Texas A&M University 6/6 152* 89 -62 60th → 45th 1.3 60% 4.3 / 4.3 154*
3 Flynn Hill '23 University of Colorado at Boulder 6/6 93n* 109 +16 46th → 50th 0.1 40% 4.3 / 5.5 93*
5 Gabriella Wong '20 University of Texas Longhorns 3 4/6 11* 44 +32 28th → 35th 0.2 19% 5.0 / 7.2 12*
5 Frederik Winguth '21 University of Texas Longhorns 3 2/6 60* 121 +61 39th → 53rd 0.3 31% 4.5 / 6.2 60*
6 Meri Keskimaula '22 University of North Texas 6/6 42* 47 +6 34th → 36th 0.0 34% 5.5 / 6.5 42*
7 Loren Young '21 Rice University Owls 2 6/6 35* 33 -2 33rd → 33rd 0.0 50% 6.5 / 6.7 35*
8 Israel Calimano '21 Texas A&M University at Galveston 6/6 -134* -23 +111 3rd → 20th 3.2 15% 8.2 / 10.4 -97*
9 Carter Walker '20 Rice University Owls 1 6/6 3* -83 -86 26th → 9th 2.8 85% 9.5 / 7.4 3*
9 Chris Helms '19 Baylor University Bears 1 6/6 -120* -102 +18 4th → 6th 0.1 39% 9.5 / 10.0 -120*
11 Natalie Kulka '21 Loyola University New Orleans 6/6 -144* -104 +40 2nd → 6th 0.4 43% 10.3 / 10.5 -144*
11 Sydney Boucher '24 Texas A&M University at Corpus Christi 4/6 -120* -101 +19 4th → 7th 0.1 48% 10.0 / 10.1 -119*
11 Marisa Soto '20 Texas A&M University at Corpus Christi 2/6 -58* -211 -153 13th → 1st 2.1 80% 11.0 / 8.8 -59*
13 John Bilyou '21 Baylor University Bears 2 5/6 -158* -244 -86 2nd → 1st 1.2 72% 12.0 / 10.8 -158*
13 Katherine Kozan '22 Baylor University Bears 2 1/6 -69n* -89 -19 11th → 8th 0.0 66% 11.0 / 9.2 -69*

Division B  14 boats · 6 races

Fin Skipper School Races Rating
before*		 Perf.
rating		 Δ Percentile
before → perf.		 Surprise
(bits)		 P(this good
or better)		 Avg finish
actual / exp.		 Rating
after*
1 Caroline Dubois-Weber '23 University of Texas Longhorns 3 6/6 192* 196 +5 67th → 69th 0.0 34% 2.7 / 3.6 190*
2 Nicholas Elsasser '22 University of Colorado at Boulder 6/6 145* 176 +31 58th → 64th 0.3 25% 3.2 / 4.4 151*
3 John Mason '23 University of Texas Longhorns 1 6/6 130* 140 +10 55th → 57th 0.0 36% 3.8 / 4.8 135*
4 Theresa Mccomiskey '22 University of Texas Longhorns 2 6/6 52* 98 +47 37th → 48th 0.6 20% 4.5 / 6.4 57*
5 Rachel Mittman '22 Texas Tech University 6/6 54* 97 +42 38th → 47th 0.5 29% 5.0 / 6.4 57*
6 Carter Walker '20 Rice University Owls 2 6/6 3* 1 -3 26th → 25th 0.0 33% 6.5 / 7.6 3*
7 Loren Young '21 Rice University Owls 1 6/6 35* -9 -43 33rd → 23rd 0.7 55% 7.0 / 6.9 35*
8 Joseph Rogalski '19 Texas A&M University at Galveston 6/6 -40* -23 +17 17th → 20th 0.1 37% 7.8 / 8.6 -39*
9 Emma Cooledge '20 University of North Texas 4/6 -1* -38 -37 25th → 17th 0.4 72% 9.0 / 7.7 2*
9 Jamie Weston '22 University of North Texas 2/6 -97* -57 +39 7th → 13th 0.2 54% 10.0 / 9.6 -98*
10 Nolan Bradberry '20 Texas A&M University 6/6 -98* -100 -2 7th → 7th 0.0 43% 9.5 / 9.8 -98*
11 Sydney Rockwell '23 Loyola University New Orleans 6/6 -101* -98 +3 6th → 7th 0.0 45% 9.7 / 9.9 -101*
12 Annie Arvidson '22 Baylor University Bears 2 6/6 -110* -130 -20 6th → 4th 0.1 63% 10.8 / 10.1 -110*
13 Daniela Zirkle '22 Baylor University Bears 1 6/6 -138* -196 -58 3rd → 1st 0.7 58% 11.2 / 10.6 -138*

From the notes

Short write-ups of what the ratings and results show, with the numbers and how they were computed.

All notes →